1. CHAPTER 1 STATISTICS
Statistics is a way of reasoning, along with a collection of tools and methods, designed to help us understand the world

2. READ THE BOOK Think Show Tell For Example Step-by-Step
What can go wrong*
What have we learned?

3. CHAPTER 2 DATA Information together with its context Five W’s
Numerical
Names
Labels
Five W’s
Who, What, When, Where, Why
How

4. WHO Respondents: Individuals who answer a survey
Subjects or Participants: People on whom we experiment. (Experimental Units)
Records or Cases: Rows in a database or data table. Individuals about whom or about which, we have the data.

5. WHAT
Variables
Characteristics recorded about each individual. These are usually columns in a data table, and they should have a name that identifies what has been measured.
Categorical (or Qualitative)
Quantitative (Numerical values with measurement units)
Ordinal

6. …more W’s Where and When? How? Why? Country? Year?
How the data was collected?
Why?
Reason for the study

7. Exercise
Investments. According to an article in Fortune (Dec.28, 1992), 401(K) plans permit employees to shift part of their before-tax salaries into investments such as mutual funds. Employers typically match 50% of the employees’ contribution up to about 6% of salary. One company, concerned with what it believed was a low employee participation rate in its 401(k) plan, sampled 30 other companies with similar plans and asked for their 401(k) participation rates.

8. Identify the W’s Who ? What ? When ? 30 Companies Participation Rates
Quantitative (Units : Percent)
When ?
Sometime after 1992

9. Identify the W’s (cont.)
Where ?
USA
Why ?
The company was concerned with its participation rate compared with other companies
How ?
Companies were sampled using an unspecified method

10. Exercise
Flowers. In a study appearing in the journal Science a research team reports that plants in southern England are flowering earlier in the spring. Records of the first flowering dates for 385 species over a period of 47 years indicate that flowering has advanced an average of 15 days per decade, an indication of climate warming according to the authors.

11. Identify the W’s Who ? What ? When ?
385 species of flowers over 47 years
What ?
First flowering date
Quantitative (Units : days)
When ?
Not specified

12. Identify the W’s (cont.)
Where ?
Southern England
Why ?
Researchers associate this behavior with climate warming
How ?
Observation. ( Method not specified)

13. Chapter 3. Displaying and Describing Categorical Data
Make a picture
First Make piles
Organize the counts by categories in a frequency table (counts) or a relative frequency table (percentages)
Both types of tables describe the distribution of the categorical variable because they name the possible categories and tell how frequently each occurs

14. The Area Principle
The area occupied by a part of the graph. It should correspond to the magnitude of the value it represents

15. Bar Charts
A bar chart displays the distribution of a categorical variable, showing the counts for each category next to each other for easy comparison.

16. Pie Charts Relative proportion (percentages instead of counts).
Pie charts show the whole group of cases as a circle, each of the pieces has a size proportional to the fraction of the whole in each category.

17. Contingency Tables
Two categorical variables

18. Marginal and Conditional distributions
Marginal Distribution
Distribution of either variable alone (at the margin of the table)
Conditional Distribution
A distribution in one variable for only those individuals satisfying some condition on another variable.
Note : If the distribution of one variable is the same for all categories of another we say that the variables are independent.

19. Exercises Step-by-Step page 31 What can go wrong
Check the charts on pages 34
Simpson’s Paradox (page 35)